Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add uthumany/uthy-legacy-os --skill prototype-planninggit clone --depth 1 https://github.com/uthumany/uthy-legacy-osWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/uthumany/uthy-legacy-os/prototype-planning)<a href="https://agentmods.dev/skills/uthumany/uthy-legacy-os/prototype-planning"><img src="https://agentmods.dev/badge/skills/uthumany/uthy-legacy-os/prototype-planning/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/uthumany/uthy-legacy-os/prototype-planning"><img src="https://agentmods.dev/badge/skills/uthumany/uthy-legacy-os/prototype-planning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00028 | $0.00944 |
| Opus 5 | $0.00014 | $0.00472 |
| Sonnet 5 | $0.00006 | $0.00189 |
| Haiku 4.5 | $0.00003 | $0.00094 |
Grade A, and why
prototype-planning scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prototype Planning
Overview
A prototype answers a question. The right fidelity depends on what you're testing. This skill helps you choose the right prototype type, create it efficiently, and run tests that produce actionable learning.
When to Use
- You want to test a solution concept before building
- You need to communicate an idea to engineers or designers
- You want to run usability tests early, before code is written
- You're planning a design sprint
- Don't use for: testing backend feasibility, proving scalability, or final visual design sign-off
Instructions
1. Define What You're Testing
What question does this prototype answer?
- "Will users understand this workflow?"
- "Is this feature discoverable?"
- "Does the copy communicate the value proposition?"
- "Will users choose this over the current solution?"
The question determines the fidelity.
2. Choose the Right Fidelity
| Fidelity | Best For | Tools | Investment |
|---|---|---|---|
| Paper | Workflow logic, initial concept validation | Pen, paper, sticky notes | 30 min |
| Wireframe | Layout, hierarchy, information architecture | Balsamiq, Figma, draw.io | 2-4 hours |
| Interactive (clickable) | Usability testing, flow validation | Figma, Framer, Axure | 1-3 days |
| High-fidelity | Visual design testing, stakeholder buy-in | Figma, Sketch, Framer | 3-10 days |
| Live-code (stub) | Technical feasibility + UX combined | HTML/CSS/JS, no backend | 1-5 days |
Rule: Build the simplest prototype that answers your question. If paper works, don't code.
3. Plan the Prototype
For each screen or interaction:
- Purpose: What does this screen accomplish?
- Entry: How does the user get here?
- Exit: What's the next step?
- Edge cases: What if there's no data? What if the user makes a mistake?
4. Create the Prototype
Tips for fast prototyping:
- Use a template or existing components library
- Only build the happy path initially
- Use placeholder data that looks realistic
- Add error states if you're testing usability
- Don't polish — done > perfect
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 106 lines · 28 tokens per session scan A d5b7433bfb71
prototype-planning is a skill published in the GitHub repository uthumany/uthy-legacy-os (5 stars, last pushed 3mo ago), licensed MIT. It adds 28 tokens to every session and 944 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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